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SMHI web page  SWEDISH METEOROLOGICAL HYDROLOGICAL INSTITUTE

Scientific Rapporteur for the AREA 1 "Data Assimilation in Weather model" [WP1].
Interfacing, in collaboration with UESSEX, radar data with LAM for improving forecast [WP2] .
Provide a test-bed for assimilation of non traditional data within a specific NWP model establishing the interface between radar measurements vs NWP [WP3].
Online estimation of forecast error standard deviations from innovation vectors to be used within variational assimilation [WP4]
Assess the bias, spatial and temporal variability of the errors in the sources of areal precipitation estimates [WP9].

PARTNER Nš4              SMHI
CategoryExpertiseTask
Senior ScientistNWP and data assimilation in NWP.Scientific Rapporteur for AREA 1 and Work Package coordinator for WP 3.
Assimilation of radar data within the HIRLAM variational data assimilation system.
Investigation of forecast error standard deviations to be used within the variational data assimilation.
ScientistMeteorological remote-sensing with emphasis on processing of radar data.Generation of radar radial wind superobservation product through processing of radar raw data. Interfacing of radar data within the HIRLAM variational data assimilation system.
Investigation of errors in, and features of, radar precipitation data by applying a meso-scale analysis procedure.
ScientistData assimilation in NWP. Handling of observations and obervation as well as forecast errors within data assimilation.Local contact-point.
Generation of radar radial wind superobservation product through processing of radar raw data. Interfacing of radar data within the HIRLAM variational data assimilation system.
Observing System Experiments with the HIRLAM assimilation system. Investigation of forecast error standard deviations to be used withing the variational data assimilation.
Senior ScientistHydrological modeling and hydrological forecasting.Coordinating scientist Work Package 9.
Utilization of radar rainfall estimates to drive an state of the art hydrological model, which will be used to estimate bias, spatial and temporal variability of the errors in the sources of areal precipitation estimates. Investigation of errors in, and features of radar precipitation data by applying a meso-scale analysis procedure.
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